Variation in Patient Smoking Cessation Rates Among Health-Care Providers: An Observational Study.

BACKGROUND: Physicians play a crucial role in providing smoking cessation counseling and medications. However, it is unknown whether individual physicians' approaches affect whether patients quit. RESEARCH QUESTION: This study assessed patient quit rates within a national quality-improvement learning collaborative to document variation in quit rates at the physician, practice, and health system levels. STUDY DESIGN AND METHODS: A retrospective cohort study was conducted of primary care patients identified from the Optum analytics database containing longitudinal ambulatory data for patients from 22 health-care organizations between January 2012 and December 2018. The study included smokers aged ≥ 18 years who attended at least three ambulatory visits, with two visits at least 1 year apart. The primary study outcome was abstinence for ≥ 1 year. A mixed effects logistic regression model was used to predict the probability of quitting as a function of patient variables. Quit rates were then adjusted by patient factors and calculated at the level of clinician, clinic/practice, and health system. RESULTS: Across all systems, 56% of patients had a documented smoking status in 2017. Among nearly 1 million smokers, 24% quit smoking. In the regression model, patient characteristics associated with quitting included older age, Hispanic ethnicity, being married, urban residence, commercial insurance, pregnancy, and a diagnosis of pneumonia, myocardial infarction, ischemic heart disease, cataract, or asthma. Medicaid insurance, low income, high BMI, peripheral vascular disease, alcohol-related diagnosis, and COPD were negatively associated with smoking cessation. Adjusted quit rates ranged from 14.3% to 34.5% across 20 health systems, 5% to 66% among 1,399 practice sites, and 4% to 87% among 3,803 health-care providers. Of smokers, 10.2% were prescribed smoking deterrents, and 3.9% were referred for counseling. INTERPRETATION: Smoking cessation rates varied substantially at the practitioner, practice site, and health system levels. It is likely that individual physician approaches to smoking cessation influence patients' likelihood of quitting.

Improving Blood Pressure Control Using Smart Technology.

BACKGROUND: The authors sought to determine if wireless oscillometric home blood pressure monitoring (HBPM) that integrates with smartphone technology improves blood pressure (BP) control among patients with new or existing uncontrolled hypertension (HTN). METHODS: A prospective observational cohort study monitored BP control before and after an educational intervention and introduction to HBPM. Patients in the intervention group were instructed to track their BP using a smartphone device three to seven times per week. Cases were matched to controls at a 1:3 allocation ratio on several clinical characteristics over the same period and received usual care. The proportion of patients with controlled BP was compared between groups at pre- and postintervention, ∼9 months later. Results and Materials: The total study population included 484 patients with mean age 60 years (range 23-102 years), 47.7% female, and 84.6% Caucasian. Mean preintervention BP was 137.8 mm Hg systolic and 81.4 mm Hg diastolic. Mean BP control rates improved for patients who received HBPM from 42% to 67% compared with matched control patients who improved from 59% to 67% (p < 0.01). CONCLUSION: HBPM with smartphone technology has the potential to improve HTN management among patients with uncontrolled or newly diagnosed HTN. Technology needs to be easy to use and operate and would work best when integrated into local electronic health record systems. In systems without this capability, medical assistants or other personnel may be trained to facilitate the process. Nurse navigator involvement was instrumental in bridging communication between the patients and provider.

The CBO's Crystal Ball: How Well Did It Forecast the Effects of the Affordable Care Act?

The Congressional Budget Office (CBO), a nonpartisan agency of Congress, made official projections of the Affordable Care Act's impact on insurance coverage rates and the costs of providing subsidies to consumers purchasing health plans in the insurance marketplaces. This analysis finds that the CBO overestimated marketplace enrollment by 30 percent and marketplace costs by 28 percent, while it underestimated Medicaid enrollment by about 14 percent. Nonetheless, the CBO's projections were closer to realized experience than were those of many other prominent forecasters. Moreover, had the CBO correctly anticipated income levels and health care prices in 2014, its estimate of marketplace enrollment would have been within 18 percent of actual experience. Given the likelihood of additional reforms to national health policy in future years, it is reassuring that, despite the many unforeseen factors surrounding the law's rollout and participation in its reforms, the CBO's forecast was reasonably accurate.

Penicillinosis in a HIV-positive individual.

Penicillium marneffei is a dimorphic fungus, which can cause fatal infection in HIV-infected patients. The aim of this article is to report a rare case of penicillinosis in an HIV-positive patient from a nonendemic area such as Paonta Sahib, Himachal Pradesh. The patient presented with nonhealing painful ulcer on tongue, chest pain, cough, and chronic diarrhea. Diagnosis was made possible through blood investigations and culture reports of saliva and blood samples.